عنوان انگلیسی مقاله:
Real-time monitoring of the athletes musculoskeletal health based on an embedded processor
ترجمه فارسی عنوان مقاله:
نظارت بر زمان واقعی سلامت اسکلتی عضلانی ورزشکار بر اساس پردازنده تعبیه شده
Sciencedirect - Elsevier - Microprocessors and Microsystems, 81 (2021) 103742: doi:10:1016/j:micpro:2020:103742
In this paper, we use wireless sensor network in motion analysis and computer vision processing. We mainly monitor and analyze various kinds of motion through wireless sensor network. When dealing with computer vision, we use wireless sensor networks to capture moving objects and analyze their detailed motion parameters. We mainly use two types of sensors to receive information, and then fuse the data they receive. These data can be applied in various fields, such as robot field. In this study, we also proposed the predictive data analysis technology, which can be used to determine the health status of the body by monitoring the robot and movement under certain conditions. At the same time, this technology can also be applied to the rehabilitation training of the injured patients. This technique can not only be used in exercise analysis, but also provide some useful suggestions and optimal exercise time for patients and rehabilitation training, which is very helpful for patients and rehabilitation and strength training. In this paper, the pilot and work is simulated by different actions, and a large number of visual motion data are generated in the experiment. In addition, we also explored some elderly patients with dyskinesia, and carried out disease monitoring and exercise monitoring on them.
Keywords: Athlete’s health Monitoring | Predictive data analysis technique (PDAT) | Field programmable gate array (FPGA)